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The CLEF-2024 CheckThat! Lab: Check-worthiness, subjectivity, persuasion, roles, authorities, and adversarial robustness
The first five editions of the CheckThat! lab focused on the main tasks of the information
verification pipeline: check-worthiness, evidence retrieval and pairing, and verification …
verification pipeline: check-worthiness, evidence retrieval and pairing, and verification …
Detecting and understanding harmful memes: A survey
The automatic identification of harmful content online is of major concern for social media
platforms, policymakers, and society. Researchers have studied textual, visual, and audio …
platforms, policymakers, and society. Researchers have studied textual, visual, and audio …
Zero shot VLMs for hate meme detection: Are we there yet?
Multimedia content on social media is rapidly evolving, with memes gaining prominence as
a distinctive form. Unfortunately, some malicious users exploit memes to target individuals or …
a distinctive form. Unfortunately, some malicious users exploit memes to target individuals or …
A review of multimodal-based emotion recognition techniques for cyberbullying detection in online social media platforms
Cyberbullying is a serious issue in online social media platforms (OSMP), which requires
effective detection and intervention systems. Multimodal emotion recognition (MER) …
effective detection and intervention systems. Multimodal emotion recognition (MER) …
A duo-generative approach to explainable multimodal covid-19 misinformation detection
This paper focuses on a critical problem of explainable multimodal COVID-19
misinformation detection where the goal is to accurately detect misleading information in …
misinformation detection where the goal is to accurately detect misleading information in …
A multimodal framework to detect target aware aggression in memes
Internet memes have gained immense traction as a medium for individuals to convey
emotions, thoughts, and perspectives on social media. While memes often serve as sources …
emotions, thoughts, and perspectives on social media. While memes often serve as sources …
A multi-modal dataset for hate speech detection on social media: Case-study of russia-ukraine conflict
Hate speech consists of types of content (eg text, audio, image) that express derogatory
sentiments and hate against certain people or groups of individuals. The internet …
sentiments and hate against certain people or groups of individuals. The internet …
What do you meme? generating explanations for visual semantic role labelling in memes
Memes are powerful means for effective communication on social media. Their effortless
amalgamation of viral visuals and compelling messages can have far-reaching implications …
amalgamation of viral visuals and compelling messages can have far-reaching implications …
DISARM: Detecting the victims targeted by harmful memes
Internet memes have emerged as an increasingly popular means of communication on the
Web. Although typically intended to elicit humour, they have been increasingly used to …
Web. Although typically intended to elicit humour, they have been increasingly used to …
A deep learning-based framework for offensive text detection in unstructured data for heterogeneous social media
Social media such as Facebook, Instagram, and Twitter are powerful and essential platforms
where people express and share their ideas, knowledge, talents, and abilities with others …
where people express and share their ideas, knowledge, talents, and abilities with others …